code: def create_errors_df():
      df = pd.DataFrame(
          columns=[
              "POINT",
              "RIDGE",
              "RIDGE_NEMO",
              "ARIMA",
              "ARIMA_NEMO",
              "STL_ARIMA",
              "STL_ARIMA_NEMO",
          ]
      )
      return df
  
imports: import os
  from copy import deepcopy
  import numpy
  import pandas
  from matplotlib import pyplot
  from sklearn.metrics import mean_squared_error, mean_absolute_error
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.data.multi_modal import MultiModalData
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TsForecastingParams, TaskTypesEnum
label_desc: Use image node_id 13 for calling a global function with example usage: create_errors_df() and returns: df